Best Engineering College in Hyderabad

keshav memorial institute of technology

An Autonomous Institution - Accredited by NAAC with 'A' Grade

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**Webinar on Security and Privacy Issues in the World of Cryptocurrencies and Modern mobile Oses clickhere for poster. on 06th April 2024 . Organized by Departments of CSE & IT. Resource Person for the event is Dr. Ankit Gangwal. ** Orientation Program 2023 is scheduled to take place on 29 August 2023. The Induction Program, for the newly admitted First Year Students, will begin from 30 August 2023. **KMIT is pleased to announce that it was classified as Promising by Atal Ranking of Institutions on Innovation Achievement (ARIIA). ** NBA has accredited CSE UG Program for 3 academic years 2021-22 to 2023-24.

**Proud to announce its new campus under the KMIT crown KMIT-Off campus @ Adibatla, Hyderabad, with intakes CSE-180, CSE(AIML)-120, IT-30 and CS&IT-30. **KMIT is proud to announce that Ms SreeLaya, an IT student of 2023 batch, bagged an international offer with Amazon, Dublin, for a pay package of 154,300 euros ( 1.2 cr rupees pa). We wish her all the best for her future **Four project proposals by our students Nischal Singhi, Srinivas Yadav, Akash Konda, and P Sai Varshith were accepted by GSoC. Congratulations and best wishes to them.

NVidia

About:

NVidia’s AI CoE (Center of Excellence) was instituted for Deep Learning, Machine Learning, Data Science and Analytics Lab with NVIDIA GPUs. We signed up with NVidia to setup their AI-GPU CoE in the campus to train and provide NVidia Certificates on AI, DL, ML, Data Science and Analytics, Core GPU C++ Programming. NVidia AI Center of Excellence (CoE), the first in Hyderabad, offers hands-on core CUDA-GPU programming training on Dept. of Biotechnology funded Live-Projects in Biomedical Imaging, Clinical Diagnostic workflow system development, Computational Fluid Dynamics system Development and AI driven real-time research products development. Equipped with NVidia DGX Station, The Fastest Personal Supercomputer with 480 TFlops (GPU FP16) and built on 4 Tesla V100’s, with 64 GB GPU RAM and 256 GB Physical RAM. A data storage server with 154 TB (11 * 14 TB) connected with this NVidia DGX station for data storage.